Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures | Paper Citation Record

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This paper cites url:https://www.smarthep.org/.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures url:https://www.smarthep.org/

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This paper cites Learning Traffic Anomalies from Generative Models on Real-Time Observations.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Learning Traffic Anomalies from Generative Models on Real-Time Observations

Reference 6

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This paper cites Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb

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This paper cites Graph Neural Network-Based Track Finding in the LHCb Vertex Detector.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Graph Neural Network-Based Track Finding in the LHCb Vertex Detector

Reference 8

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This paper cites Graph Neural Network-Based Pipeline for Track Finding in the VELO at LHCb.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Graph Neural Network-Based Pipeline for Track Finding in the VELO at LHCb

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This paper cites Giasemis.ICHEP 2024: High-Throughput GNN-Based Track Recon- struction on GPUs at LHCb.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Giasemis.ICHEP 2024: High-Throughput GNN-Based Track Recon- struction on GPUs at LHCb

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This paper cites Giasemis.ML4Jets 2024: High-Throughput GNN-Based Track Re- construction on GPUs at LHCb.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Giasemis.ML4Jets 2024: High-Throughput GNN-Based Track Re- construction on GPUs at LHCb

Reference 12

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This paper cites Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb

Reference 13

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This paper cites Giasemis.ML4Jets 2025: Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Giasemis.ML4Jets 2025: Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb

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This paper cites Giasemis.JRJC 2023: Graph Neural Network for Track Finding at LHCb.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Giasemis.JRJC 2023: Graph Neural Network for Track Finding at LHCb

Reference 15

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Graph Neural Network for Track Finding at LHCb

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Giasemis.Co-Processor Meeting: Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb

Reference 17

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This paper cites Allen: A High-Level Trigger on GPUs for LHCb.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Allen: A High-Level Trigger on GPUs for LHCb

Reference 18

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This paper cites 2020.doi: 10.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures 2020.doi: 10

Reference 19

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This paper cites ALICE HLT High Speed Tracking on GPU.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures ALICE HLT High Speed Tracking on GPU

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This paper cites GPU Accelerated Track Reconstruction in the ALICE High Level Trigger.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures GPU Accelerated Track Reconstruction in the ALICE High Level Trigger

Reference 21

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This paper cites 2017.doi:10.17181/CERN.2LBB.4IAL.url: https://cds.cern.ch/record/2285584.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures 2017.doi:10.17181/CERN.2LBB.4IAL.url: https://cds.cern.ch/record/2285584

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures url:https://cds.cern.ch/record/2714892

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This paper cites Search by Triplet: An Efficient Local Track Reconstruction Algorithm for Parallel Architectures.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Search by Triplet: An Efficient Local Track Reconstruction Algorithm for Parallel Architectures

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Unresolved cited work

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures NVIDIATensorCoreProgrammability,Performance & Precision

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures TrackML : A Tracking Machine Learning Challenge

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures TrackML: A High Energy Physics Particle Tracking Challenge

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures The Tracking Machine Learning challenge : Accuracy phase

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures The Tracking Machine Learning Challenge: Throughput Phase

Reference 32

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Track Seeding and Labelling with Embedded-space Graph Neural Networks

Reference 33

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Novel Fully-Heterogeneous GNN Designs for Track Reconstruction at the HL-LHC

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures PerformanceofaGeometricDeepLearningPipelinefor HL-LHCParticleTracking

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures The LHCb Trigger and Its Performance in 2011

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures TheATLASExperimentattheCERNLargeHadron Collider

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures The Trigger of the ATLAS Experiment

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures The LHCb Trigger System

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures June 2025.url:https://a3d3.ai/

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Physics Community Needs, Tools, and Resources for Machine Learning

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Real-Time Fraud Detection Using Machine Learning

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Real-TimeFinancialMonitoringSystems: Enhancing Risk Management Through Continuous Oversight

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Real Time Stock Market Analysis

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures An Efficient Hybrid Approach for Forecasting Real-Time Stock Market Indices

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Real-Time Risk Monitoring with Big Data Analytics for Derivatives Portfolios

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Fleet Management SystemsinLogistics4.0Era:ARealTimeDistributedandScalableArchitec- turalProposal

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures RealTimeTrafficControlUsingBigDataAnalytics

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Big Data Ana- lyticsArchitectureforReal-TimeTrafficControl

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures EdgeComputingforReal-TimeDe- cisionMakinginAutonomousDriving:ReviewofChallenges,Solutions,and FutureTrends

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Real-Time Safety Analysis Using Autonomous Vehicle Data: A Bayesian Hierarchical Extreme Value Model

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures ForecastingModelsAnalysisforPredictiveMaintenance

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Real-Time Predictive Maintenance-Based Pro- cess Parameters: Towards an Industrial Sustainability Improvement

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This paper cites A Deep Learning and IoT-Driven Framework for Real-Time Adaptive Resource Allocation and Grid Optimization in Smart Energy Systems.

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures A Deep Learning and IoT-Driven Framework for Real-Time Adaptive Resource Allocation and Grid Optimization in Smart Energy Systems

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Real-Time Energy Management Simulation for Enhanced Integration of Renewable Energy Resources in DC Microgrids

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Optimization Based Real-Time Home Energy Management in the Presence of Renewable Energy and Battery Energy Storage

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Anomaly Detection in Network Traffic for Proactive Security Threat Identification Using Improved Gated Recurrent Unit

Reference 60

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures HEP Community White Paper on Software Trigger and Event Reconstruction: Executive Summary

Reference 61

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning

Reference 62

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Reference 63

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures cern.ch/content/hl-lhc-project

Reference 64

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Projections for Key Measurements in Heavy Flavour Physics

Reference 65

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Unresolved cited work

Reference 66

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Computing and software for LHCb Upgrade II

Reference 67

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures 2022.url:https://cds.cern.ch/record/2802918

Reference 68

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Unresolved cited work

Reference 69

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Real-Time Data Analysis at the LHC: Present and Future

Reference 70

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Real-Time Data Processing in the ALICE High LevelTriggerattheLHC

Reference 71

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures MachineLearninginHighEnergyPhysicsCommunity WhitePaper

Reference 72

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures JEDI-Net: a Jet Identification Algorithm Based on InteractionNetworks

Reference 73

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Deep Learning for Track Recognition in Pixel and Strip- Based Particle Detectors

Reference 74

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Emerging Jets Search, Triton Server Deployment, and Track Quality Development: Machine Learning Applications in High Energy Physics

Reference 75

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Reference 76

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures The MIT Press, Oct

Reference 77

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures A Roadmap for HEP Software and Computing R&D for the 2020s

Reference 78

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures 2022.url:https: //cds.cern.ch/record/2814728

Reference 79

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures 2023.url:https://cds.cern.ch/record/ 2868782

Reference 80

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures 2023.url:https://cds.cern.ch/record/2876546

Reference 81

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures 2024.url:https://cds.cern.ch/record/ 2904695

Reference 82

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Reference 83

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC

Reference 84

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures 2023.url:https://cds.cern.ch/record/2859651

Reference 85

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs

Reference 86

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Development of the Topological Trigger for LHCb Run 3

Reference 87

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Applications of Lipschitz neural networks to the Run 3 LHCb trigger system

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:14:27.075344Z

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Observation fbdaf8c0-8c01-40e3-a26b-c3ffc7a80b59 · outbound

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Robust and Provably Monotonic Networks

Reference 89

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures LHCb Topological Trigger Reoptimization

Reference 90

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Efficient, Reliable and Fast High-Level Triggering Using a Bonsai Boosted Decision Tree

Reference 91

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Edge Intelligence and Internet of Things in Healthcare: A Survey

Reference 92

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions

Reference 93

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Computational Intelligence and Deep Learning for Next- Generation Edge-Enabled Industrial IoT

Reference 94

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Edge Computing Services for Smart Cities: A Review and CaseStudy

Reference 95

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Observation eb295f5d-0617-4fa8-b594-812764a165e2 · outbound

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning

Reference 96

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures EnergyandPolicy Considerations for Modern Deep Learning Research

Reference 97

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Observation e4d9741d-a37f-4be2-831a-02ed8123e63c · outbound

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures The Computational Limits of Deep Learning

Reference 98

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures Riley, Michael P

Reference 99

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Reference 100

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures July 2021.url:https://tikz

Reference 101

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Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures World Scientific, 1994.isbn: 978-981-02-0263-7

Reference 102

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Pith citing papers